Raúl Arturo García Huerta, M.S.
Detalle BN6
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- Raúl Arturo García Huerta, M.S.
Raúl Arturo García Huerta, M.S.
Deparment of Tecnological and Industrial Procceces
ragarcia@iteso.mx
Tel. 3669 3434 Ext. 3341
Location: I Building 205
Professor García has a PhD in Engineering Sciences from the Instituto Tecnológico y de Estudios Superiores de Occidente (ITESO), México; a Master's Degree in Earth Oriented Space Science and Technology, from the Technical University of Munich (TUM), Germany; and a Bachelor's Degree in Mechanical Engineering from ITESO.
He has experience in research and development as a mechanical engineer, working on the design of Engine Control Units for the automotive industry. As part of his Master's degree thesis, he collaborated with the German Aerospace Center, where he specialized in the determination of geostationary satellite orbits based on dual-frequency measurements.
Since 2014 he is a full-time professor at ITESO, where he coordinated the Undergraduate Program in Mechanical Engineering from 2015 to 2018. Currently, he researches Unmanned Aerial Vehicles, specifically Precision Aerial Delivery Systems, studying their flight dynamics and implementing sensors fusion algorithms. He is the director of the Department of Technological and Industrial Processes at ITESO University.
For further information here
Referencias:
R. A. Garcia-Huerta, L. E. González-Jiménez, and I. E. Villalon-Turrubiates, "Sensor fusion algorithm using a model-based Kalman filter for the position and attitude estimation of precision aerial delivery systems," Sensors, vol. 20, no. 18, p. 5227, Sep. 2020, ISSN: 1424-8220. DOI: 10.3390/s20185227.
R. A. Garcia-Huerta, I. E. Villalon-Turrubiates, L. E. González-Jiménez, and G. Allende-Alba, "Accuracy estimation of a low-cost GPS receiver using landmarks on aerial images," in IGARSS 2019 - 2019 IEEE Int. Geoscience and Remote Sensing Symp., Yokohama, Japan, Jul. 2019, pp. 9244–9247, ISBN: 978-1-5386-9154-0. DOI: 10.1109/IGARSS.2019.8899767.
R. A. Garcia-Huerta, I. E. Villalon-Turrubiates, L. E. González-Jiménez, and G. Allende-Alba, "Kalman filter-based trajectory estimation using a low-cost sensor and aerial images," in IGARSS 2020 - 2020 IEEE Int. Geoscience and Remote Sensing Symp., Waikoloa, Hawaii, Sep. 2020, pp. 6471–6474, ISBN: 978-1-7281-6374-1. DOI: 10.1109/IGARSS39084.2020.9324733.
R. A. Garcia-Huerta, "Kalman filter state estimation for navigation based on low-cost sensors," PhD thesis, ITESO, Tlaquepaque, Mexico, Nov. 2020. [Online]. Available: https://hdl.handle.net/11117/6483.
R. A. Garcia-Huerta, Software repository for: Sensor fusion algorithm using a model-based Kalman filter for the position and attitude estimation of precision aerial delivery systems, version 1.0, Sep. 2020. DOI:10.5281/zenodo.3978828.